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knockoff: The Knockoff Filter for Controlled Variable Selection
The knockoff filter is a general procedure for controlling the false discovery rate (FDR) when performing variable selection. For more information, see the website below and the accompanying paper: Candes et al., "Panning for gold: model-X knockoffs for high-dimensional controlled variable selection", J. R. Statist. Soc. B (2018) 80, 3, pp. 551-577.
Package details |
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| Author | Rina Foygel Barber [ctb] (Development of the original Fixed-X Knockoffs), Emmanuel Candes [ctb] (Development of Model-X Knockoffs and original Fixed-X Knockoffs), Lucas Janson [ctb] (Development of Model-X Knockoffs), Evan Patterson [aut] (Earlier R package for the original Fixed-X Knockoffs), Matteo Sesia [aut, cre] (R package for Model-X Knockoffs) |
| Maintainer | Matteo Sesia <sesia@marshall.usc.edu> |
| License | GPL-3 |
| Version | 0.3.6 |
| URL | https://web.stanford.edu/group/candes/knockoffs/index.html |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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